We propose a class of constraints, referred to as conditional functional dependencies (CFDs), and study their applications in data cleaning. In contrast to traditional functional ...
Philip Bohannon, Wenfei Fan, Floris Geerts, Xibei ...
Obtaining detailed, patient-specific blood flow information would be very useful in detecting and monitoring cardio-vascular diseases. Current approaches rely on computational flui...
Robert H. P. McGregor, Dominik Szczerba, Krishnamu...
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Microaggregation is one of the most employed microdata protection methods. The idea is to build clusters of at least k original records, and then replace them with the centroid of...